Integration of clinicopathological and mutational data offers insight into lung cancer with tumor spread through air spaces

被引:18
|
作者
Tian, Yu [1 ]
Feng, Jing [2 ]
Jiang, Long [1 ]
Ning, Junwei [1 ]
Gu, Zenan [1 ]
Huang, Jia [1 ]
Luo, Qingquan [1 ]
机构
[1] Shanghai Jiao Tong Univ, Shanghai Chest Hosp, Shanghai Lung Canc Ctr, Shanghai 200030, Peoples R China
[2] Shanghai Jiao Tong Univ, Shanghai Chest Hosp, Ctr Stat, Shanghai, Peoples R China
关键词
Lung cancer; adenocarcinoma (ADC); spread through air space; pathological; genetic; ADENOCARCINOMA; RECURRENCE; IMPACT;
D O I
10.21037/atm-21-2256
中图分类号
R73 [肿瘤学];
学科分类号
100214 ;
摘要
Background: Tumor spread through air spaces (STAS) was defined as a unique tumor invasion pattern in adenocarcinoma (ADC) by The World Health Organization Classification of Lung Tumors in 2015. Since then, STAS had been shown to be associated with local recurrence and poor survival results, as the typical signature and potential mechanisms of STAS remained unclear. Our objectives were to comprehensively demonstrate the clinicopathological and genetic signatures in STAS-positive lung cancer patients. Methods: The clinicopathological and gene alteration characteristics of 878 STAS-positive lung cancer patients were presented. Associations between parameters were evaluated using the Chi-square test, Fisher's exact test, and logistic regression. The capture-based targeted next generation sequencing (NGS) with a platform of 68 lung cancer-related genes was conducted in 139 cases, and the mutational spectrum was summarized. Results: STAS was identified in 391 female and 481 male patients, of which ADC accounted for the majority of cases (92.6%). The concomitant solid or micropapillary subtype was observed in 92.12% patients with ADC. Poorly differentiated histological subtypes were more frequent and negatively correlated with tumor size in smaller tumor cases (P=0.036, Pearson's R=-0.075). Furthermore, in the subgroup of nodules within 3 cm, the distribution of the solid and micropapillary subtypes were significantly frequent in lymph node-positive patients (P<0.001). Tumor protein p53 (TP53) alterations were more frequent in smoking patients (27.6%, P=0.007), human epidermal growth factor receptor 2 (HER2) alterations were more common in female (10.8%, P=0.025), while Kirsten rat sarcoma viral oncogene (KRAS) (20.3%, P=0.024) and TP53 (45.9%, P=0.003) were more prevalent in males. Conclusions: Poorly differentiated histological subtypes likely played a crucial role in promoting the invasiveness of STAS, especially in small tumor-size cases. Epidermal growth factor receptor (EGFR), TP53, KARS, anaplastic lymphoma kinase (ALK), and ROS proto-oncogene 1 (ROS1) were the five most frequent alterations in STAS-positive ADC.
引用
收藏
页数:8
相关论文
共 50 条
  • [41] Prognostic impact of spread through air spaces in lung adenocarcinoma
    Mantovani, Sara
    Pernazza, Angelina
    Bassi, Massimiliano
    Amore, Davide
    Vannucci, Jacopo
    Poggi, Camilla
    Diso, Daniele
    d'Amati, Giulia
    Della Rocca, Carlo
    Rendina, Erino Angelo
    Venuta, Federico
    Anile, Marco
    INTERACTIVE CARDIOVASCULAR AND THORACIC SURGERY, 2022, 34 (06) : 1011 - 1015
  • [42] Tumor Spread through Air Spaces (STAS) in Lung Squamous Cell Cancer is an Independent Risk Factor: A Competing Risk Analysis
    Lu, Shaohua
    Eguchi, Takashi
    Tan, Kay See
    Bains, Sarina
    Kadota, Kyuichi
    Rekhtman, Natasha
    Adusumilli, Prasad
    Travis, William
    JOURNAL OF THORACIC ONCOLOGY, 2017, 12 (01) : S412 - S413
  • [43] An individual nomogram can reliably predict tumor spread through air spaces in non-small-cell lung cancer
    Wang, Shuai
    Shou, Huankai
    Wen, Haoyu
    Wang, Xingxing
    Wang, Haixing
    Lu, Chunlai
    Gu, Jie
    Xu, Fengkai
    Zhu, Qiaoliang
    Wang, Lin
    Ge, Di
    BMC PULMONARY MEDICINE, 2022, 22 (01)
  • [44] An individual nomogram can reliably predict tumor spread through air spaces in non-small-cell lung cancer
    Shuai Wang
    Huankai Shou
    Haoyu Wen
    Xingxing Wang
    Haixing Wang
    Chunlai Lu
    Jie Gu
    Fengkai Xu
    Qiaoliang Zhu
    Lin Wang
    Di Ge
    BMC Pulmonary Medicine, 22
  • [45] Tumor Spread Through Air Spaces in Non-Small Cell Lung Cancer: A Systematic Review and Meta-Analysis
    Chen, Donglai
    Mao, Yiming
    Wen, Junmiao
    She, Yunlang
    Zhu, Erjia
    Zhu, Feng
    Zhang, Yongsheng
    Fan, Min
    Chen, Chang
    Chen, Yongbing
    ANNALS OF THORACIC SURGERY, 2019, 108 (03): : 945 - 954
  • [46] To explore the prognostic value of spread through air spaces and develop a nomogram combined with spread through air spaces in lung squamous cell carcinoma
    Yu, Hongyan
    Lin, Chengbin
    Chen, Xiaohan
    Wang, Zheng
    Shen, Weiyu
    JOURNAL OF THORACIC DISEASE, 2022, 14 (09) : 3531 - 3543
  • [47] Preoperative bronchial cytology for the assessment of tumor spread through air spaces in lung adenocarcinoma resection specimens
    Medina, Mayra A.
    Onken, Allison M.
    de Margerie-Mellon, Constance
    Heidinger, Benedikt H.
    Chen, Yigu
    Bankier, Alexander A.
    VanderLaan, Paul A.
    CANCER CYTOPATHOLOGY, 2020, 128 (04) : 278 - 286
  • [48] Semiquantitative Assessment of Tumor Spread through Air Spaces (STAS) in Early-Stage Lung Adenocarcinomas
    Uruga, Hironori
    Fujii, Takeshi
    Fujimori, Sakashi
    Kohno, Tadasu
    Kishi, Kazuma
    JOURNAL OF THORACIC ONCOLOGY, 2017, 12 (07) : 1046 - 1051
  • [49] Computed Tomography Features and Tumor Spread Through Air Spaces in Lung Adenocarcinoma A Meta-analysis
    Gu, Yan
    Zheng, Bo
    Zhao, Tianjing
    Fan, Yingjie
    JOURNAL OF THORACIC IMAGING, 2023, 38 (02) : W19 - W29
  • [50] Prognostic Value of Tumor Spread Through Air Spaces in Patients With Lung Adenocarcinoma after Radical Surgery
    Chen, S.
    Ye, T.
    Fu, F.
    Deng, C.
    Hu, H.
    Sun, Y.
    Pan, Y.
    Zhang, Y.
    Xiang, J.
    Zhang, Y.
    Shen, X.
    Wang, S.
    Wang, Z.
    Li, Y.
    Chen, H.
    JOURNAL OF THORACIC ONCOLOGY, 2021, 16 (10) : S1134 - S1134